Social circle analysis on ego-network based on context frequent pattern mining

Authors:
Bingying Xu;Lei Deng;Yan Jia;Bin Zhou;Yi Han
Affiliations:
National University of Defense Technology, Hunan China;National University of Defense Technology, Hunan China;National University of Defense Technology, Hunan China;National University of Defense Technology, Hunan China;National University of Defense Technology, Hunan China
Venue:
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Year:
2013

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Abstract

Effective organization and management of a user's ego-network is one of the effective means to deal with information overload. Manual organization methods are often time-consuming and difficult to promote. In this paper, an automatic identification of social circles model is proposed, which takes three factors into account: user's profile, relationship information, and interactive context information. Using closed frequent itemsets mining on users' interactive context, a user in ego-network can belong to more than one social circles or even no one. The experiments show that our model can effectively detect social circles on ego-network.